Triple

T8983711
Position Surface form Disambiguated ID Type / Status
Subject Dom Hofmann E214598 entity
Predicate created P538 FINISHED
Object Peach (social network) E771576 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peach (social network) | Statement: [Dom Hofmann, created, Peach (social network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peach (social network)
Context triple: [Dom Hofmann, created, Peach (social network)]
  • A. Peach (social network) chosen
    Peach is a minimalist social networking app created by Vine co-founder Dom Hofmann, known for its whimsical interface and “magic words” command system.
  • B. Peach
    The peach is a sweet, juicy stone fruit with fuzzy skin, widely cultivated and celebrated in Georgia and other temperate regions.
  • C. Peach
    Peach is a friendly pink starfish character from Disney-Pixar’s Finding Nemo who appears in the The Seas with Nemo & Friends attraction at Epcot.
  • D. Peach
    Peach is a common English surname borne by various individuals, including British military leader Stuart Peach.
  • E. Peach
    Peach is a recurring princess character from Nintendo's Mario franchise, known for her distinctive pink dress and frequent appearances as a playable racer in the Mario Kart series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67eb3cfc8190900a8253cc44621c completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb51c9fc81908d86858f10c9ab62 completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:03 p.m.